Google’s open-source Scion testbed lets developers run isolated, parallel AI agents across local and remote clusters. Here’s how it works.
Microsoft Field Engineers Built a Six-Agent Research Pipeline in VS Code That Fact-Checks Its Own Output
Azure Global Black Belts Diego Casati and Ray Kao developed Project Nighthawk, a multi-agent system that automates deep technical research for AKS and ARO with 100% source-grounding
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Anthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise.
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Discover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems.
Google Launches Agent Development Kit for TypeScript: A Code-First Approach to Building AI Agents
Google’s open-source Agent Development Kit (ADK) lets TypeScript developers build modular, testable AI agents using familiar code-first workflows instead of prompt engineering.